{ "data": { "question": { "questionId": "1843", "questionFrontendId": "1725", "boundTopicId": null, "title": "Number Of Rectangles That Can Form The Largest Square", "titleSlug": "number-of-rectangles-that-can-form-the-largest-square", "content": "
You are given an array rectangles where rectangles[i] = [li, wi] represents the ith rectangle of length li and width wi.
You can cut the ith rectangle to form a square with a side length of k if both k <= li and k <= wi. For example, if you have a rectangle [4,6], you can cut it to get a square with a side length of at most 4.
Let maxLen be the side length of the largest square you can obtain from any of the given rectangles.
Return the number of rectangles that can make a square with a side length of maxLen.
\r\n
Example 1:
\r\n\r\n\r\nInput: rectangles = [[5,8],[3,9],[5,12],[16,5]]\r\nOutput: 3\r\nExplanation: The largest squares you can get from each rectangle are of lengths [5,3,5,5].\r\nThe largest possible square is of length 5, and you can get it out of 3 rectangles.\r\n\r\n\r\n
Example 2:
\r\n\r\n\r\nInput: rectangles = [[2,3],[3,7],[4,3],[3,7]]\r\nOutput: 3\r\n\r\n\r\n
\r\n
Constraints:
\r\n\r\n1 <= rectangles.length <= 1000rectangles[i].length == 21 <= li, wi <= 109li != wiCompiled with clang 11 using the latest C++ 20 standard.
Your code is compiled with level two optimization (-O2). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
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Python 2.7.12.
Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\\r\\n\\r\\nNote that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.
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Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms
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Go 1.21
Support https://godoc.org/github.com/emirpasic/gods@v1.18.1 library.
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Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
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